SeeQ: Training Generalist Value Functions for Long-Horizon Robotic Manipulation
cs.RO
Submitted: 2026-09-18
Updated: 2026-09-27
Project page: https://saksham002.github.io/seeq
Terminology
Sources
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- Qwen3-VL Technical Report
- PaliGemma: A versatile 3B VLM for transfer
- Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
- Demystifying Action Space Design for Robotic Manipulation Policies
- RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction
- RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
- RoboReward: General-Purpose Vision-Language Reward Models for Robotics
- Unified Video Action Model
- Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
- Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies
- RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation
- Fast-WAM: Do World Action Models Need Test-time Future Imagination?
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
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